Please note: This PhD seminar will be given online.
Jiayi Chen, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Urs Hengartner
Mobile devices are commonly used in multi-user scenarios, such as shared household devices and shared corporate devices for front-line workers. A multi-user device requires both identification and authentication to defend against unauthorized access and distinguish between legitimate users in real-time, especially when multiple users participate in the same session. Although implicit authentication (IA) has been proposed to provide continuous and transparent authentication throughout a session, most existing IA solutions are optimized for single-user scenarios.
In this seminar, we first present how we use the multi-stage adaptive authentication framework to build the workflow of an authentication system for shared mobile devices, and then provide a solution for multi-modal, multi-user IA. In addition, we demonstrate how to use our simulation framework, SHRIMPS, to evaluate the performance of multi-user IA systems. The evaluation results have shown that our solution can effectively reject attackers and detect user switches in real-time.
To join this PhD seminar on BigBlueButton, please go to https://bbb.crysp.org/b/jia-4zu-74k.
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